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Poster
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Tue 9:00
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DC3: A learning method for optimization with hard constraints
Priya Donti · David Rolnick · Zico Kolter
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Poster
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Thu 9:00
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Local Search Algorithms for Rank-Constrained Convex Optimization
Kyriakos Axiotis · Maxim Sviridenko
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Poster
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Thu 17:00
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ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
Hengrui Cai · Rui Song · Wenbin Lu
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Poster
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Thu 17:00
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On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
Zhong Li · Jiequn Han · Weinan E · Qianxiao Li
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Poster
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Thu 1:00
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Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
Shikuang Deng · Shi Gu
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Poster
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Wed 9:00
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Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang · Ruosong Wang · Simon Du · Akshay Krishnamurthy
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Poster
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Thu 9:00
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Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo
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Poster
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Mon 17:00
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SAFENet: A Secure, Accurate and Fast Neural Network Inference
Qian Lou · Yilin Shen · Hongxia Jin · Lei Jiang
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Poster
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Tue 17:00
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Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville
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